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Meiliu Wu
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2020 – today
- 2024
- [j5]Tang Sui
, Qunying Huang
BiAU-Net: Wildfire burnt area mapping using bi-temporal Sentinel-2 imagery and U-Net with attention mechanism. Int. J. Appl. Earth Obs. Geoinformation 132: 104034 (2024) - [c5]Xinyi Liu, Bo Peng, Meiliu Wu
Occupation Prediction with Multimodal Learning from Tweet Messages and Google Street View Images. AGILE Conf. 2024: 36 - 2023
- [j4]Meiliu Wu
Mixed land use measurement and mapping with street view images and spatial context-aware prompts via zero-shot multimodal learning. Int. J. Appl. Earth Obs. Geoinformation 125: 103591 (2023) - [j3]Jirapa Vongkusolkit, Bo Peng
Near Real-Time Flood Mapping with Weakly Supervised Machine Learning. Remote. Sens. 15(13): 3263 (2023) - [j2]Meiliu Wu
Revealing racial-ethnic segregation with individual experienced segregation indices based on social media data: A case study in Los Angeles-Long Beach-Anaheim. Comput. Environ. Urban Syst. 104: 102008 (2023) - [c4]Meiliu Wu
Measuring Access Inequality in A Hybrid Physical-Virtual World: : A Case Study of Racial Disparity of Healthcare Access During CoVID-19. Geoinformatics 2023: 1-10 - [c3]Mingda Wu
Pixel-wise Wildfire Burn Severity Classification with Bi-temporal Sentinel-2 Data and Deep Learning. ICBDT 2023: 360-364 - 2022
- [j1]Meiliu Wu
Human movement patterns of different racial-ethnic and economic groups in U.S. top 50 populated cities: What can social media tell us about isolation? Ann. GIS 28(2): 161-183 (2022) - [c2]Meiliu Wu
IM2City: image geo-localization via multi-modal learning. GeoAI@SIGSPATIAL 2022: 50-61
2010 – 2019
- 2017
- [c1]Xinyi Liu, Qunying Huang, Zhenlong Li, Meiliu Wu
The impact of MTUP to explore online trajectories for human mobility studies. PredictGIS@SIGSPATIAL 2017: 6:1-6:9
Coauthor Index
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